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Detection of cathelicidin <t>(LL-37)</t> and myeloperoxidase (MPO) in human urine samples. Protein concentrations in human urine samples were detected by ELISA. The samples were analyzed in a microplate reader. Bar represents mean ± SD of each group. Protein levels were compared across groups (A, C) and subgroups (B, D). (A, C) LL-37 and MPO concentrations are higher in infected (Group A and B) than in healthy urines (Control). (B, D) No difference in protein concentrations was found when comparing the subgroups of Group A. ****p < 0.0001.
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MedChemExpress ll37
A Schematic representation of establishing a mouse model of rosacea-like skin inflammation using <t>LL37</t> and treatment with GBP (Created by BioRender); B Administration of GBP to different groups of mice and observation of skin symptoms at the end of the final experiment; C Assessment of each group of mice’s skin thickness; D Evaluation of skin redness score in each group of mice; E Overall skin condition score for each group of mice; F Histopathological assessment using H&E staining to examine skin conditions of each group of mice, with a scale bar of 100 μm and a local magnification scale bar of 25 μm; G Analysis of inflammatory cell infiltration in different groups. All data are expressed as mean ± standard deviation (SD). Comparisons among multiple groups were performed using one-way analysis of variance (ANOVA), followed by post-hoc tests with Dunnett’s T3 and LSD-t methods. For animal experiments, n = 5. Statistical significance was defined as ns P > 0.05; *** P < 0.001.
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Image Search Results


Detection of cathelicidin (LL-37) and myeloperoxidase (MPO) in human urine samples. Protein concentrations in human urine samples were detected by ELISA. The samples were analyzed in a microplate reader. Bar represents mean ± SD of each group. Protein levels were compared across groups (A, C) and subgroups (B, D). (A, C) LL-37 and MPO concentrations are higher in infected (Group A and B) than in healthy urines (Control). (B, D) No difference in protein concentrations was found when comparing the subgroups of Group A. ****p < 0.0001.

Journal: Frontiers in Immunology

Article Title: Presence of neutrophil extracellular traps (NETs) in different types of human urinary tract infections (UTI). A pilot study

doi: 10.3389/fimmu.2026.1745166

Figure Lengend Snippet: Detection of cathelicidin (LL-37) and myeloperoxidase (MPO) in human urine samples. Protein concentrations in human urine samples were detected by ELISA. The samples were analyzed in a microplate reader. Bar represents mean ± SD of each group. Protein levels were compared across groups (A, C) and subgroups (B, D). (A, C) LL-37 and MPO concentrations are higher in infected (Group A and B) than in healthy urines (Control). (B, D) No difference in protein concentrations was found when comparing the subgroups of Group A. ****p < 0.0001.

Article Snippet: LL-37 and MPO were detected in human urine samples by commercial ELISAs [LL-37 Human Elisa kit, Hycult Biotech (#HK321); Human Myeloperoxidase DuoSet Elisa Kit, R&D Systems (DY3174)].

Techniques: Enzyme-linked Immunosorbent Assay, Infection, Control

A Schematic representation of establishing a mouse model of rosacea-like skin inflammation using LL37 and treatment with GBP (Created by BioRender); B Administration of GBP to different groups of mice and observation of skin symptoms at the end of the final experiment; C Assessment of each group of mice’s skin thickness; D Evaluation of skin redness score in each group of mice; E Overall skin condition score for each group of mice; F Histopathological assessment using H&E staining to examine skin conditions of each group of mice, with a scale bar of 100 μm and a local magnification scale bar of 25 μm; G Analysis of inflammatory cell infiltration in different groups. All data are expressed as mean ± standard deviation (SD). Comparisons among multiple groups were performed using one-way analysis of variance (ANOVA), followed by post-hoc tests with Dunnett’s T3 and LSD-t methods. For animal experiments, n = 5. Statistical significance was defined as ns P > 0.05; *** P < 0.001.

Journal: Communications Biology

Article Title: Transcriptomic and metabolomic insights into gabapentin’s therapeutic role in neurogenic inflammation of rosacea

doi: 10.1038/s42003-026-09662-3

Figure Lengend Snippet: A Schematic representation of establishing a mouse model of rosacea-like skin inflammation using LL37 and treatment with GBP (Created by BioRender); B Administration of GBP to different groups of mice and observation of skin symptoms at the end of the final experiment; C Assessment of each group of mice’s skin thickness; D Evaluation of skin redness score in each group of mice; E Overall skin condition score for each group of mice; F Histopathological assessment using H&E staining to examine skin conditions of each group of mice, with a scale bar of 100 μm and a local magnification scale bar of 25 μm; G Analysis of inflammatory cell infiltration in different groups. All data are expressed as mean ± standard deviation (SD). Comparisons among multiple groups were performed using one-way analysis of variance (ANOVA), followed by post-hoc tests with Dunnett’s T3 and LSD-t methods. For animal experiments, n = 5. Statistical significance was defined as ns P > 0.05; *** P < 0.001.

Article Snippet: Anesthetized with pentobarbital sodium (50 mg/kg), the mice were subcutaneously injected with 40 μL of 320 μM LL37 (HY-P1222, MCE) twice a day for two days, wild-type mice were used as controls.

Techniques: Staining, Standard Deviation

A Collection of skin tissue from various groups of mice for transcriptome high-throughput sequencing (Created by BioRender); B Volcano plot analysis of DEGs between the Ctrl group and LL37 group from high-throughput transcriptome sequencing, where blue dots represent downregulated genes, red dots depict upregulated genes, and gray dots indicate insignificant genes, n = 3; C Differential gene analysis between LL37 and GBP groups by high-throughput transcriptome sequencing, with blue dots representing downregulated genes, red dots indicating upregulated genes, and gray dots showing insignificant genes, n = 3; D PCA analysis of differential genes between Ctrl, LL37, and GBP groups; E Venn diagram analysis of differential genes between Ctrl, LL37, and GBP groups, with blue circle representing genes differentially expressed in Ctrl and LL37 groups, and red circle indicating genes differentially expressed in LL37 and GBP groups; F Heat map showing the expression of selected inflammatory factors in the intersecting genes.

Journal: Communications Biology

Article Title: Transcriptomic and metabolomic insights into gabapentin’s therapeutic role in neurogenic inflammation of rosacea

doi: 10.1038/s42003-026-09662-3

Figure Lengend Snippet: A Collection of skin tissue from various groups of mice for transcriptome high-throughput sequencing (Created by BioRender); B Volcano plot analysis of DEGs between the Ctrl group and LL37 group from high-throughput transcriptome sequencing, where blue dots represent downregulated genes, red dots depict upregulated genes, and gray dots indicate insignificant genes, n = 3; C Differential gene analysis between LL37 and GBP groups by high-throughput transcriptome sequencing, with blue dots representing downregulated genes, red dots indicating upregulated genes, and gray dots showing insignificant genes, n = 3; D PCA analysis of differential genes between Ctrl, LL37, and GBP groups; E Venn diagram analysis of differential genes between Ctrl, LL37, and GBP groups, with blue circle representing genes differentially expressed in Ctrl and LL37 groups, and red circle indicating genes differentially expressed in LL37 and GBP groups; F Heat map showing the expression of selected inflammatory factors in the intersecting genes.

Article Snippet: Anesthetized with pentobarbital sodium (50 mg/kg), the mice were subcutaneously injected with 40 μL of 320 μM LL37 (HY-P1222, MCE) twice a day for two days, wild-type mice were used as controls.

Techniques: Next-Generation Sequencing, High Throughput Screening Assay, Sequencing, Expressing

A KEGG and GO analyses reveal the upregulated DEGs controlling biological pathways in the LL37 and GBP groups; B KEGG and GO analyses show the downregulated DEGs controlling biological pathways in the LL37 and GBP groups; C , D GSEA analysis indicates the expression pattern of inflammatory factors regulated by Neuroinflammation and Glutamatergic Signaling; E , F GSEA analysis shows the expression pattern of inflammatory factors regulated by the NF-κB Signaling pathway.

Journal: Communications Biology

Article Title: Transcriptomic and metabolomic insights into gabapentin’s therapeutic role in neurogenic inflammation of rosacea

doi: 10.1038/s42003-026-09662-3

Figure Lengend Snippet: A KEGG and GO analyses reveal the upregulated DEGs controlling biological pathways in the LL37 and GBP groups; B KEGG and GO analyses show the downregulated DEGs controlling biological pathways in the LL37 and GBP groups; C , D GSEA analysis indicates the expression pattern of inflammatory factors regulated by Neuroinflammation and Glutamatergic Signaling; E , F GSEA analysis shows the expression pattern of inflammatory factors regulated by the NF-κB Signaling pathway.

Article Snippet: Anesthetized with pentobarbital sodium (50 mg/kg), the mice were subcutaneously injected with 40 μL of 320 μM LL37 (HY-P1222, MCE) twice a day for two days, wild-type mice were used as controls.

Techniques: Expressing